搜索资源列表
k_means_Gray
- 对于灰度图的 k均值算法实现 matlab代码-Gray graphics k-means matlab code
a
- 对于彩色图像的 k均值算法的matlab代码 文件置于c盘根目录-Colored graphics k-means algorithm matlab code
matlab-code
- 模式识别c均值聚类,也陈k均值,是模式识别中最最要的聚类方法之一。-Pattern Recognition, c-means clustering, and Chen k means, is far the most to the clustering pattern recognition methods.
kmean_zmx_try
- k-means Cluster,kmean_zmx_try.rar,k均值聚类算法的matlab源代码-k-means Cluster,kmean_zmx_try.rar
kmean_Clustering
- k均值聚类分析 c++版本 完全和MATLAB相同-k-means clustering analysis of c++ version of the same full and MATLAB
1
- k均值算法,用matlab实现的,数据挖掘-k-means
knn
- k均值聚类+matlab 有详细的注释和图片-failed to translate
1
- 模式识别分层聚类、k—均值算法,支持向量机、线性判别、判别代码、ppt-Pattern recognition hierarchical clustering, k-means algorithm, support vector machines, linear discriminant, discriminant code, ppt
kMeansCluster
- k均值分类 效率高 代码简单 利用最小均方误差准则编写-k-means efficient
junzhi
- k-均值算法,主要进行在matlab中的程序实现,进行图像的分割处理-k-means algorithm, mainly for the program in the matlab implementation for image segmentation
proj10-01
- 在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是:在训练样本中找到C个聚类中心,每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。-In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to
HCM
- HCM是模糊聚类,k均值算法 -hcm
K-means
- 均值为K的聚类算法,是一种对聚类数据进行的最简单的算法,广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
Kmeans-MATLAB
- 该代码能够实现K均值聚类算法对彩色图像分割,在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.
kind
- candy边缘检测,彩色图像的边缘检测,K均值聚类,sobel边缘检测(C)其他是matlab程序-candy edge detection, color image edge detection, K-means clustering, sobel edge detection (C) the other is a matlab program
ISODATA MATLAB编码
- 迭代自组织数据分析算法(Iterative Self-Organizing Data Analysis Techniques Algorithm,ISODATA)与K均值算法有相似之处,即聚类中心的位置同样是通过样本均值的迭代运算决定。不同的是,这种算法在运算的过程中聚类中心数目不是固定不变的,而是反复进行修改,以得到较合理的类别数K,这种修改通过模式类的合并和分裂来实现,合并和分裂在一组预先选定的参数指导下进行。
利用k均值进行图像分割
- 利用MATLAB实现基于kmeans的图像分割技术(Implementation of image segmentation technology based on kmeans using MATLAB)
K-means
- 用matlab实现k均值算法,不用库函数(Implementation of K mean algorithm)
81801236k.matlab
- 利用matlab实现k均值聚类算法,亲自调试通过,对于学习k均值聚类算法有很大帮助(Using MATLAB to achieve K means clustering algorithm, personally debugging through, for learning K mean clustering algorithm is very helpful)
MATLAB-image-processing-master (1)
- 图像处理算法在空间域和频域的简单滤波等方面的实现,实现了像霍夫变换和k均值算法的图像分割算法。(Image processing algorithm in the spatial domain and frequency domain of simple filtering and other aspects of the realization of the image segmentation algorithm such as Hough transform and k-means alg